Online Master of Science
in Analytics

Gain Specialized Data Analysis Skills

Analytics@American, the online Master of Science in Analytics (MSAn) program from the Kogod School of Business, prepares students to become experts in data analysis. In as few as 12 to 15 months, students will learn how to use data to solve a variety of organizational and business challenges related to fiscal performance and operational effectiveness.1

An MSAn degree is ideal for professionals who want to apply data insights to make a real difference for their organizations. Students in the program learn how to use evidence-based data gathering, data modeling, and quantitative analysis to help businesses make informed decisions and gain competitive advantages.

How We Rank

Both Kogod and the online MS in Analytics program are recognized for their quality experience and education.

#7 Best Online Business Programs for Veterans

Kogod’s online business master’s programs are ranked the No. 7 best online programs for veterans by U.S. News & World Report in 2021.2

#16 for Online Business Programs

Kogod’s online business master’s programs are ranked the No. 16 best online business programs overall by U.S. News & World Report in 2021.3

#41 Master’s in Business Analytics Program

QS World University Rankings ranked American University’s MSAn program the No. 41 master’s in business analytics program in the world for 2021.4

AACSB Accredited

American University’s Kogod School of Business is accredited by the Association to Advance Collegiate Schools of Business (AACSB International). AACSB accreditation is known worldwide as the longest-standing, most recognized form of specialized and professional accreditation an institution and its business programs can earn.

An MS in Data Science vs. an MS in Analytics

The online MS in Analytics program focuses on the important relationship between business and analytics strategy. Compared to an MS in Data Science program that typically offers an education focused on how to design algorithms and statistical programming, the MS in Analytics explores how the data gained from those algorithms can be used to influence a wide range of industries.

MS in Data Science

Focuses on foundational data collection techniques, featuring courses like Database Management and Statistical Programming

Is designed for domestic and global business professionals

Prepares students for careers such as business operations manager, financial manager, and budget analyst

MS in Analytics

Focuses on data analysis, featuring courses like Business Insights Through Analytics, Statistics, and Database and Big Data

Is designed for professionals looking to use advanced mathematical models and methods to solve problems at their job

Prepares students for careers such as financial analyst, business intelligence consultant, and supply chain manager

Get Started

Enhance your data analysis skills and gain the tools you need to advance your career. Learn more about the online Master of Science in Analytics program.

Request Information


The Kogod online business analytics program prepares students to make educated assessments by applying analytical techniques to real-world business practices. Unlike many data science master’s degree programs, the applied business emphasis provides students with the opportunity to explore the business domain of their choice. You can also customize your degree by choosing one of our pre-designed focus areas or designing your own.

Program Requirements

33 total credit hours

6 core courses

4 elective courses

2 analytics practicums in Washington, D.C. and virtually

Core Courses

Managerial Statistics

Managing Digital Organizations

Database and Big Data

Business Insights through Analytics

Predictive Analysis

Business Intelligence

Applied Tools and Programming Languages




R + R Studio

Excel and add-ins (XLMiner and Analytic Solver)

Focus Areas

Students can concentrate their degree program by choosing a pre-designed focus area or by selecting
electives that best suit their goals. Focus areas include:

Business Foundations

Develop the core management skills to make better business decisions for your organization through courses such as Strategic Thinking and Managerial Economics & Corporate Strategy.


Focus on strategies to prepare for, prevent, and respond to cybersecurity attacks through courses such as Cybersecurity Risk Management and Cybersecurity Governance.

Financial Analytics

Develop both analytic and financial expertise through courses such as Financial Statement Analysis and Forensic Accounting: Fraud Examination & Litigation Support.


Prepare for success in this field and appeal to potential employers and clients through courses such as Business Law & Ethics and Strategic Thinking for Decisions.

The Business Fundamentals Certificate

You will have the option to pursue the Business Fundamentals Certificate as a part of your analytics degree for no additional cost or time to complete by selecting four elective courses that meet the certificate requirements. Gain a fundamental understanding of business and management in courses that focus on financial accounting, marketing, finance, international business, and more.

Analytics Practicums

The curriculum includes one in-person practicum, which takes place on American University’s campus in Washington, D.C., that allow students to solve business challenges with real organizations. The virtual practicum is to be completed first, then an in-person practicum is completed in the last semester for the Business Analytics program. Some of the organizations that Kogod has partnered with include Capital One and Venture Capital. Students use descriptive, predictive, and prescriptive analytics tools to find solutions to problems these organizations face. In addition to these problem-solving projects, students attend talks from business leaders and explore the nation’s capital.

Faculty Spotlight

Online MS in Analytics students learn from the same experienced Kogod faculty who teach on campus. Made up of entrepreneurs, educators, CEOs, executives, and board members of Fortune 500 companies, our faculty are dedicated to lending support and remaining accessible to their students.

Loren Hudziak

Adjunct Instructor

Loren has 24 years of IT field experience, originally focusing on database and application development before shifting to analytics and cloud architecture. In his current role at Google, his focus is on endpoint security and cloud-based solutions.

Résumé Highlights

  • Cloud architect at Google, engineering solutions for clients such as Coca-Cola, Capital One, Humana, and Urban Outfitters
  • Previous employers include Oracle, Borland, and IBM Netezza
  • Formerly focused on developing large-scale database and analytic solutions for intelligence community customers

Focus Areas: IT, analytics, security

Mahsa Oroojeni

Professorial Lecturer

Mahsa focuses her research on personalized disease management, personalized telehealth, healthcare analytics and informatics, applied machine learning, health economics, and supply chain management.

Résumé Highlights

  • Postdoctoral fellow at Johns Hopkins Bloomberg School of Public Health
  • Published work in the Journal of Applied Mathematical Modeling, Journal of Medical Internet Research (JMIR) Diabetes, International Journal of Business Information Systems, International Journal of Supply and Operations Management, and International Journal of Industrial and Systems Engineering

Focus Areas: IT, analytics, managerial statistics

Jay Simon

Associate Professor

Jay has worked in a variety of areas in analytics since 2004, including analyzing cancer treatment choices, using geographic data to inform policy decisions, and designing several defense applications. His main academic research focus is in prescriptive analytics, particularly modeling preferences for decisions involving outcomes that occur over time, space, or groups of people.

Résumé Highlights

  • Published in many prominent academic journals, including Operations Research, Decision Sciences, Risk Analysis, Decision Analysis, European Journal of Operational Research, INFORMS Journal on Applied Analytics, and Theory and Decision
  • Associate editor of the journals Decision Analysis and Military Operations Research

Focus Areas: business analytics

Applying to Analytics@American

Candidates must have a bachelor’s degree from an accredited college or university to apply. GMAT and GRE scores are not required. To complete the application, you must submit the following:

Online application
Application fee
Personal statement

Letters of recommendation
Test scores (optional)

The MS in Analytics program has four start dates throughout the year. Kogod accepts applications on a rolling basis.

January 2022 Class

Priority Deadline: November 1, 2021

Final Deadline: December 3, 2021

April 2022 Class

Priority Deadline: January 24, 2022

Final Deadline: February 22, 2022

July 2022 Class

Priority Deadline: April 26, 2022

Final Deadline: May 24, 2022

Where Can Analytics@American Connections Get You?

Your classmates and online MBA alumni are located across the world with connections to top U.S. and international corporations. This network is in addition to the larger AU and Kogod alumni bases that you will join when you graduate. No matter where you live and what industry you work in, our alumni are available to help you reach your career goals.


Kogod Alumni


AU Alumni

The map displays states of residence for all students enrolled in the MBA program since the inception of the online program, including: Alabama, Arizona, California, Colorado, Connecticut, Delaware, Florida, Georgia, Hawaii, Illinois, Indiana, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, Washington, DC, and West Virginia.

Uplifting Diverse Perspectives and Voices

Lasting success depends on the diverse connections we make. Analytics@American students bring a wide range of perspectives and experiences to the classroom. The Kogod School of Business is proud to encourage these viewpoints in an inclusive learning environment.

51% / 49%

Male / Female


Minority Students5

6 Years

Average Work Experience

Online Learning Experience

Analytics@American students attend live, online classes where they interact and collaborate via webcam with Kogod faculty members and classmates. They complete weekly self-paced course work that complements the assignments and discussion in the live classes and have full access to office hours.

The Value of a Master’s in Analytics

In the MS in Analytics program, students learn to use the most up-to-date data analysis strategies to transform relevant information into tangible solutions. Graduates prepare to work as intelligence analysts, financial analysts, marketing analysts, business analytics consultants, entrepreneurs, supply chain managers, and more.

“I was looking for a program that gave me the ability to better understand businesses and business issues combined with the skills required for data analysis. That combination is ultimately what helped me successfully land my current job.”

John Gayton
Analytics@American Graduate, Services Data Analyst at Agilent Technologies

Use Data to Advance Your Career with
a Master of Science in Analytics

Gain expertise in data analysis and learn to apply new insights in your industry. Request information about the online Master of Science in Analytics program today.

1 Program time to completion depends on when you start the program.arrow_upwardReturn to footnote reference
2Best Online Master’s in Business Programs for Veterans (Excluding MBA)U.S. News & World Report. Accessed January 2021.arrow_upwardReturn to footnote reference
3Best Online Master’s in Business Programs (Excluding MBA)U.S. News & World Report. Accessed January 2021.arrow_upwardReturn to footnote reference
4QS World University Rankings. Accessed June 2021.arrow_upwardReturn to footnote reference
5 This information includes: Hispanic/Latino, black or African American, non-Hispanic/Latino, and American Indian or Alaska Native students, as well as two or more races, when one or more are from the preceding racial and ethnic categories.arrow_upwardReturn to footnote reference